{
  "id": "2610.07591",
  "title": "Recurrent Looped Transformer",
  "authors": "Yifan Zhang, Jichen Feng, Shihan Qin, Sun-Yuan Kung, Mengdi Wang",
  "first_public": "2026-10-06",
  "added_at": "2026-10-18",
  "venue": "arXiv",
  "arxiv": "2610.07591",
  "paper_url": "https://arxiv.org/abs/2610.07591",
  "summary": "Passes each token's final decoder state to the next token, alongside a causal encoder representation. Tests whether this growing computation path supports state tracking on sequences longer than those seen during training.",
  "lens": [
    "recurrent"
  ],
  "representation": [
    "hidden-state"
  ],
  "computation": [
    "recurrent",
    "token-wise",
    "stateful"
  ],
  "training": [
    "supervised"
  ],
  "questions": [
    "architecture",
    "capability",
    "generalization"
  ],
  "evidence": [
    "empirical"
  ],
  "modality": [
    "symbolic"
  ],
  "provenance": "Primary-source literature search, 2026-10-18",
  "author_names": [
    "Yifan Zhang",
    "Jichen Feng",
    "Shihan Qin",
    "Sun-Yuan Kung",
    "Mengdi Wang"
  ],
  "record_url": "https://latent-implicit-thinking.github.io/papers/2610.07591/",
  "legacy_record_url": "https://latent-implicit-thinking.github.io/papers/#paper-2610-07591",
  "citation_date": "2026-10-06",
  "json_url": "https://latent-implicit-thinking.github.io/papers/2610.07591/record.json",
  "markdown_url": "https://latent-implicit-thinking.github.io/papers/2610.07591/index.md",
  "bibtex_url": "https://latent-implicit-thinking.github.io/papers/2610.07591/citation.bib",
  "csl_url": "https://latent-implicit-thinking.github.io/papers/2610.07591/citation.csl.json"
}